Bioinformatics of the Brain

Duclos, D. Nadin, Y. Mahdid, et al., “Brain network motifs are markers

oss and recovery of consciousness,” Sci Rep, vol. 11, no. 1, p. 3892,

1.

Matelsky, E. Reilly, E. Johnson, et al., “DotMotif: an open-source tool

connectome subgraph isomorphism search and graph queries,” Sci

p, vol. 11, no. 1, p. 13045, 2021.

Matejek, D. Wei, T. Chen, et al., “Edge-colored directed subgraph

meration on the connectome,” Sci Rep, vol. 12, no. 1, p. 11349, 2022.

Fellner, B. Varga, and V. Grolmusz, “The frequent complete sub-

phs in the human connectome,” PLoS One, vol. 15, no. 8, p. e0236883,

0.

Fellner, B. Varga, and V. Grolmusz, “The frequent subgraphs of the

nectome of the human brain,” Cogn Neurodyn, vol. 13, no. 5, pp. 453–

, 2019.

Mrzic, P. Meysman, W. Bittremieux, et al., “Grasping frequent sub-

ph mining for bioinformatics applications,” BioData Min, vol. 11,

20, 2018.

Conte, P. Foggia, C. Sansone, et al., “Thirty years of graph matching

pattern recognition,” International Journal of Pattern Recognition and

ificial Intelligence, vol. 18, pp. 265–298, 2018.

Singh, J. Xu, and B. Berger, “Pairwise global alignment of protein

eraction networks by matching neighborhood topology,” in Speed, T.,

ang, H. (eds) Research in Computational Molecular Biology. RECOMB

07. Lecture Notes in Computer Science, vol. 4453, pp. 16–31, Springer,

lin, Heidelberg, 2007.

Patro and C. Kingsford, “Global network alignment using multiscale

ctral signatures,” Bioinformatics, vol. 28, no. 23, pp. 3105–3114, 2012.

Bukhari, C. Su, E. Dhamala, et al., “Graph-matching distance be-

en individuals’ functional connectomes varies with relatedness, age,

d cognitive score,” Hum Brain Mapp, vol. 44, no. 9, pp. 3541–3554,

3.

Frigo, E. Cruciani, D. Coudert, et al., “Network alignment and similar-

reveal atlas-based topological differences in structural connectomes,”

tw Neurosci, vol. 5, no. 3, pp. 711–733, 2021.

Milano, P. Guzzi, O. Tymofieva, et al., “An extensive assessment

network alignment algorithms for comparison of brain connectomes,”

MC Bioinformatics, vol. 18, no. 6, p. 235, 2017.